modifications to A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies" by V. Banzon, T. M. Smith, C. Liu, and W. Hankins

2016 ◽  
Author(s):  
Bruno Buongiorno Nardelli
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Environmental Studies ◽  
Sea Surface ◽  
Climate Monitoring

scholarly journals Comparison of in situ time-series of temperature with gridded sea surface temperature datasets in the North Atlantic

2009 ◽  
Vol 66 (7) ◽  
pp. 1467-1479 ◽  
Author(s):  
Sarah L. Hughes ◽  
N. Penny Holliday ◽  
Eugene Colbourne ◽  
Vladimir Ozhigin ◽  
Hedinn Valdimarsson ◽  
...  
Keyword(s):  
Time Series ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
North Atlantic ◽  
Sea Surface ◽  
The North ◽  
Spatial Coverage ◽  
The North Atlantic

Abstract Hughes, S. L., Holliday, N. P., Colbourne, E., Ozhigin, V., Valdimarsson, H., Østerhus, S., and Wiltshire, K. 2009. Comparison of in situ time-series of temperature with gridded sea surface temperature datasets in the North Atlantic. – ICES Journal of Marine Science, 66: 1467–1479. Analysis of the effects of climate variability and climate change on the marine ecosystem is difficult in regions where long-term observations of ocean temperature are sparse or unavailable. Gridded sea surface temperature (SST) products, based on a combination of satellite and in situ observations, can be used to examine variability and long-term trends because they provide better spatial coverage than the limited sets of long in situ time-series. SST data from three gridded products (Reynolds/NCEP OISST.v2., Reynolds ERSST.v3, and the Hadley Centre HadISST1) are compared with long time-series of in situ measurements from ICES standard sections in the North Atlantic and Nordic Seas. The variability and trends derived from the two data sources are examined, and the usefulness of the products as a proxy for subsurface conditions is discussed.

scholarly journals Long-term sea surface temperature variability in the Aegean Sea

2011 ◽  
Vol 2 (2) ◽  
pp. 125 ◽  
Author(s):  
Nikolaos Skliris ◽  
Sarantis S. Sofianos ◽  
Athanasios Gkanasos ◽  
Panagiotis Axaopoulos ◽  
Anneta Mantziafou ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Aegean Sea ◽  
Sea Surface ◽  
Surface Warming ◽  
In Situ Data ◽  
Nao Index ◽  
Decadal Scale

The inter-annual/decadal scale variability of the Aegean Sea Surface Temperature (SST) is investigated by means of long-term series of satellite-derived and in situ data. Monthly mean declouded SST maps are constructed over the 1985–2008 period, based on a re-analysis of AVHRR Oceans Pathfinder optimally interpolated data over the Aegean Sea. Basin-average SST time series are also constructed using the ICOADS in situ data over 1950–2006. Results indicate a small SST decreasing trend until the early nineties, and then a rapid surface warming consistent with the acceleration of the SST rise observed on the global ocean scale. Decadal-scale SST anomalies were found to be negatively correlated with the winter North Atlantic Oscillation (NAO) index over the last 60 years suggesting that along with global warming effects on the regional scale, a part of the long-term SST variability in the Aegean Sea is driven by large scale atmospheric natural variability patterns. In particular, the acceleration of surface warming in the Aegean Sea began nearly simultaneously with the NAO index abrupt shift in the mid-nineties from strongly positive values to weakly positive/negative values.

Long-Term Trends, Variability and Extremes of In Situ Sea Surface Temperature Measured Along the Eastern Adriatic Coast and its Relationship to Hemispheric Processes

2018 ◽  
Vol 175 (11) ◽  
pp. 4031-4046 ◽  
Author(s):  
Branka Grbec ◽  
Frano Matić ◽  
Gordana Beg Paklar ◽  
Mira Morović ◽  
Ružica Popović ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Adriatic Coast ◽  
Long Term Trends

scholarly journals A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies

2016 ◽  
Vol 8 (1) ◽  
pp. 165-176 ◽  
Author(s):  
Viva Banzon ◽  
Thomas M. Smith ◽  
Toshio Mike Chin ◽  
Chunying Liu ◽  
William Hankins
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Large Scale ◽  
Sea Surface ◽  
Climate Data ◽  
Data Set ◽  
Volcanic Aerosols ◽  
Climate Data Record

Abstract. This paper describes a blended sea-surface temperature (SST) data set that is part of the National Oceanic and Atmospheric Administration (NOAA) Climate Data Record (CDR) program product suite. Using optimum interpolation (OI), in situ and satellite observations are combined on a daily and 0.25° spatial grid to form an SST analysis, i.e., a spatially complete field. A large-scale bias adjustment of the input infrared SSTs is made using buoy and ship observations as a reference. This is particularly important for the time periods when volcanic aerosols from the El Chichón and Mt. Pinatubo eruptions are widespread globally. The main source of SSTs is the Advanced Very High Resolution Radiometer (AVHRR), available from late 1981 to the present, which is also the temporal span of this CDR. The input and processing choices made to ensure a consistent data set that meets the CDR requirements are summarized. A brief history and an explanation of the forward production schedule for the preliminary and science-quality final product are also provided. The data set is produced and archived at the newly formed National Centers for Environmental Information (NCEI) in Network Common Data Form (netCDF) at doi:10.7289/V5SQ8XB5.

scholarly journals A long-term record of blended satellite and in situ sea surface temperature for climate monitoring, modeling and environmental studies

2016 ◽  
Author(s):  
V. Banzon ◽  
T. M. Smith ◽  
C. Liu ◽  
W. Hankins
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Large Scale ◽  
Sea Surface ◽  
Climate Data ◽  
Volcanic Aerosols ◽  
Climate Data Record ◽  
Very High

Abstract. This paper describes a blended sea-surface temperature (SST) dataset that is part of the National Oceanic and Atmospheric Administration (NOAA) Climate Data Record (CDR) Program product suite. Using optimum interpolation (OI), in situ and satellite observations are combined on a daily and 0.25° spatial grid to form an SST analysis, i.e., a spatially complete field. A large-scale bias adjustment of the input infrared SSTs is made using buoy and ship observations as a reference. This is particularly important for the time periods when volcanic aerosols from the El Chichon and Mt. Pinatubo eruptions are widespread globally. The main source of SSTs is the Advanced Very High Resolution Radiometer (AVHRR), available from late 1981 to the present, which is also the temporal span of this CDR. The input and processing choices made to ensure a consistent dataset that meets the CDR requirements is summarized. A brief history and an explanation of the forward production schedule for the preliminary and science-quality final product is also provided. The dataset is produced and archived at the newly formed National Centers for Environmental Information (NCEI) in Network Common Data Form (netCDF) at http://doi.org/doi:10.7289/V5SQ8XB5 .

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